Achievements and gaps in tef productivity improvement practices in the marginal areas of Northern Ethiopia: implications for future research directions

Tef is the most important crop in Ethiopia and is well-adapted to growing environments, but grain yields are low. The government is therefore promoting the adoption of improved varieties, inorganic fertilizers and new planting techniques. This study gathered information on the use of new agronomic practices and barriers to their adoption through a semi-structured questionnaire administered to 60 farmers or respondents from each of 4 districts of Tigray region in northern Ethiopia viz Laelay-Maichew, Medebay-Zana, Ahferom and Alamata. Data were coded and analysed using SPSS software. Except for animal feed and crop rotation, there were significant differences between districts in the relative importance of several criteria for different uses. Improved varieties were used by the majority of respondents in all districts and fertilizers in all except Alamata where severe moisture stress dictated the choice of variety and reduced fertilizer application. Weed control was mainly by hand except in Alamata where chemical control was common because of the predominance of broad-leaved weeds. Transplanting maximized the yield of tef, but a cost–benefit analysis showed that row sowing was more profitable. The study concluded that new varieties better adapted to the likelihood of reduced rainfall and that respond efficiently to fertilizer inputs need to be developed. Until suitable technologies are available, high labour costs would in part dictate some agronomic practices, even if this led to lower yields.     

中国和埃塞俄比亚双边贸易:机遇与挑战

随着同中国双边贸易关系的不断发展,埃塞俄比亚的经济开始面临新的机遇和挑战。本文通过研究中国同埃塞俄比亚的贸易状况以及贸易发展趋势,对埃塞俄比亚所面临的新的机遇和挑战进行了深入的分析,并提出了鼓励中国投资者投资于埃塞俄比亚的出口行业,加强两国投资合作的应对策略。     

Interorganizational cooperation: a new view of strategic alliances: The case of Swedish firms in the international market

Looking at the rate at which organizations/firms are entering into strategic alliances these days, one can understand and/or appreciate the increased research in the area of strategic alliances. The tremendous amount of research on this type of interorganizational cooperation, more or less, have one thing in common. Thus, all seek to increase our knowledge and/or understanding of the potentialities, as well as the challenges inherent in the formation of strategic alliances. What is missing in the existing literature on strategic alliances is an emphasis on the importance of the interacting parties' (i.e., parties in any strategic alliance) interconnected exchange relationships with third parties (i.e., actors who are not officially regarded as partners in an alliance). There is a lack of empirical studies on the nature of and the extent to which networks (third parties) may affect and be affected by the achievement of goals pursued by some focal strategic alliance partners. The paper presents case studies that shed light on this issue. The purpose of this paper, therefore, is to deepen our understanding of the relevance of third parties in a strategic alliance formed between specific focal actors. One important conclusion of the study is that the achievement of the focal actors' goals is affected, in large, by third parties.     

Storm Damage and Risk Preferences: Panel Evidence from Germany

Individuals’ risk preferences may change after experiencing external socio-economic or natural shocks. Theoretical predictions and empirical studies suggest that risk taking may increase or decrease after experiencing shocks. So far the empirical evidence is sparse, especially when it comes to developed countries. We contribute to this literature by investigating whether experiencing financial and health-related damage caused by storms affects risk preferences of individuals in Germany. Using unique panel data, we find that household heads were more risk-seeking after they experienced storm damage. We do not find evidence of exposure to storm per se (regardless of damage experience), which suggests that household heads have to suffer damage for their risk preferences to be affected. These results are robust across a battery of alternative model specifications and alternative storm damage measures (magnitude of financial damage). We rule out other potential explanations such as health-related and economic shocks. The self-reported storm damage data is broadly confirmed by regional storm damage data provided by the insurance industry. While we cannot identify the channels through which experiencing storm damage affects risk preferences from our data, we suggest and discuss some potential channels. The results may have important policy implications as risk preferences affect, for instance, individuals’ savings and investment behaviour, adoption of self-protection and self-insurance strategies, and technology adoption.